SIMULATION OF GAS HYDRATE FORMATION CONDITION IN THE PRESENCE AND ABSENCE OF THERMODYNAMICS INHIBITORS USING EMPIRICAL CORRELATIONS AND DATA-DRIVEN MODELS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

HOSEINI NASAB S.M.; VAFAEI M.; IZADPANAH A.A.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: PETROLEUM RESEARCH Year:2011 | Volume:21 | Issue:65 Page(s): 82-97

Download Full-Text

Persian Verion

View:

1,825

Download:

Cites:

Information Journal Paper

Title

SIMULATION OF GAS HYDRATE FORMATION CONDITION IN THE PRESENCE AND ABSENCE OF THERMODYNAMICS INHIBITORS USING EMPIRICAL CORRELATIONS AND DATA-DRIVEN MODELS

Author(s)

HOSEINI NASAB S.M. | VAFAEI M. | IZADPANAH A.A. | Issue Writer Certificate

Keywords

PREDICTIONQ2

HYDRATE FORMATION PRESSUREQ3

DATA-DRIVEN MODELQ3

ARTIFICIAL NEURAL NETWORKQ2

ANFIS MODELQ3

Abstract

Hydrates are known to occur in a variety of natural-gas handling facilities and processing equipment in oil fields, refineries, and chemical plants where natural gas and water coexist at elevated pressures and reduced temperatures. Prevention of hydrate formation requires PREDICTION of hydrate formation temperature or pressure.In this paper, two DATA-DRIVEN MODELs, i.e. ARTIFICIAL NEURAL NETWORK (ANN) and neuro-fuzzy system (ANFIS model) have been applied to predict HYDRATE FORMATION PRESSURE by available experimental data in this field as alternative tools. For this purpose, optimum structure of DATA-DRIVEN MODELs was determined by statistical parameters. Optimum neural network and ANFIS MODELs were compared with well-known empirical correlation and thermodynamic model of Heriot-Watt University. The results obtained in this work indicate that ANFIS MODEL is more accurate in PREDICTION of HYDRATE FORMATION PRESSURE than ANN. Furthermore, comparison shows that ANFIS matches better with experimental data compared with empirical correlation and HWHYD model in terms of statistical values.

Cites

No record.

References

No record.

Cite

APA: Copy

HOSEINI NASAB, S.M., VAFAEI, M., & IZADPANAH, A.A.. (2011). SIMULATION OF GAS HYDRATE FORMATION CONDITION IN THE PRESENCE AND ABSENCE OF THERMODYNAMICS INHIBITORS USING EMPIRICAL CORRELATIONS AND DATA-DRIVEN MODELS. PETROLEUM RESEARCH, 21(65), 82-97. SID. https://sid.ir/paper/115063/en

Vancouver: Copy

HOSEINI NASAB S.M., VAFAEI M., IZADPANAH A.A.. SIMULATION OF GAS HYDRATE FORMATION CONDITION IN THE PRESENCE AND ABSENCE OF THERMODYNAMICS INHIBITORS USING EMPIRICAL CORRELATIONS AND DATA-DRIVEN MODELS. PETROLEUM RESEARCH[Internet]. 2011;21(65):82-97. Available from: https://sid.ir/paper/115063/en

IEEE: Copy

S.M. HOSEINI NASAB, M. VAFAEI, and A.A. IZADPANAH, “SIMULATION OF GAS HYDRATE FORMATION CONDITION IN THE PRESENCE AND ABSENCE OF THERMODYNAMICS INHIBITORS USING EMPIRICAL CORRELATIONS AND DATA-DRIVEN MODELS,” PETROLEUM RESEARCH, vol. 21, no. 65, pp. 82–97, 2011, [Online]. Available: https://sid.ir/paper/115063/en

Related Journal Papers